Frequently Asked Questions

Product Overview & Core Concepts

What is Optimize at Edge?

Optimize at Edge is an edge-based deployment capability within Salespeak's LLM Optimizer. It allows you to serve AI-friendly content changes—such as FAQs, structured data, and improved content structure—directly at the CDN (Content Delivery Network) layer. This means you can optimize your website for large language models (LLMs) like ChatGPT and Claude without making any changes to your CMS or origin content. Only AI agents see the optimized version, while human visitors and SEO bots see your original page.

How does Optimize at Edge work?

Optimize at Edge works by analyzing your web pages for AI visibility opportunities, such as missing FAQs or content gaps. Once you approve suggested optimizations, they are deployed at the CDN edge. The CDN identifies AI user agents (like GPTBot or ClaudeBot) and serves them the optimized HTML, while all other visitors receive the original content. This process is fully reversible and does not affect your CMS or publishing workflows.

Why is edge-based LLM optimization important?

Edge-based LLM optimization is important because it eliminates the slow, resource-intensive process of making CMS changes for every optimization. With edge deployment, you can publish AI-specific content improvements in minutes, not weeks, and iterate quickly to maintain a competitive advantage in LLM visibility. This approach also ensures no disruption to your human user experience or SEO.

What is LLM Optimization?

LLM Optimization is the process of tuning your website content so that large language models (LLMs) can better process, rank, and cite your information in their answers. It involves structuring content, adding FAQs, and using schema markup to improve discoverability and answer quality for AI-driven search and conversational interfaces. Learn more in our glossary entry on LLM Optimization.

Is the LLM Optimizer an SEO tool?

The LLM Optimizer is related to SEO but serves a different purpose. While SEO targets human ranking and clicks, the LLM Optimizer focuses on how AI models ingest and answer questions, tying improvements to conversions from AI-driven traffic.

Features & Capabilities

What are the key benefits of using Optimize at Edge?

Key benefits include:

How does Optimize at Edge affect my website's performance?

Optimize at Edge has no negative impact on your website's performance. All changes are served from the CDN layer, leveraging existing global infrastructure for sub-millisecond processing and no additional server load. Human visitors and SEO bots experience the same site speed as before.

What types of content optimization can be applied using Optimize at Edge?

Optimize at Edge can inject FAQs, add structured data (Schema markup), improve heading hierarchy, enhance definitions, and add comparison context. These optimizations are targeted at improving LLM visibility and are applied without altering your origin pages.

How does automatic FAQ injection work?

Automatic FAQ injection analyzes your page for intent gaps—questions buyers commonly ask that aren't answered. The system suggests specific FAQ content, which you can approve and deploy at the edge. This makes your page more discoverable and relevant in AI-driven answers, without changing your CMS.

Can I see what optimizations are being served to AI agents?

Yes. The LLM Optimizer dashboard provides a preview of all deployed optimizations for each page, allowing you to see the AI-optimized version before and after changes.

Is Optimize at Edge compatible with my CMS or CDN?

Optimize at Edge is CMS- and CDN-agnostic. It works with WordPress, Webflow, custom CMSs, static site generators, and integrates with platforms like Cloudflare and Vercel. No plugins or theme modifications are required.

How quickly do changes take effect with Optimize at Edge?

Edge optimizations are deployed in minutes and served immediately from CDN cache. However, LLMs update their knowledge bases on their own schedules, typically days to weeks. Your content is ready for AI agents as soon as they crawl your site.

Can I roll back changes made with Optimize at Edge?

Yes. Every edge optimization is fully reversible with one-click rollback. If an optimization doesn't perform as expected, you can undo it instantly without going through another CMS cycle.

Does Optimize at Edge impact SEO or risk cloaking penalties?

No. Optimize at Edge does not impact SEO or risk cloaking penalties because SEO bots (like Googlebot) and human visitors see your original content. Only AI agents receive the optimized version, and the changes are additive and transparent, not deceptive.

How are AI agents identified for edge optimization?

AI agents are identified by their user agent strings when crawling your site. Major LLMs like GPTBot (OpenAI/ChatGPT), ClaudeBot (Anthropic/Claude), and PerplexityBot (Perplexity) use documented user agents. The edge worker matches these patterns to apply optimizations only to confirmed AI traffic.

What happens if an AI agent doesn't identify itself?

If an AI agent does not identify itself, it receives your original content, just like human visitors. The optimization is additive, so unrecognized AI traffic still gets a functional page, but without the edge enhancements.

What is the technical architecture behind Optimize at Edge?

Optimize at Edge operates at the CDN layer. When a request comes in, the CDN identifies the user agent. For AI agents, an edge worker intercepts the request and applies cached optimizations to the HTML response. Human visitors and SEO bots receive the original content directly from cache. This ensures sub-millisecond processing and no increase in origin server load.

How does Optimize at Edge support experimentation and iteration?

Edge optimization enables rapid experimentation by allowing you to test different FAQ approaches, content structures, and optimizations. With instant rollback and fast deployment, you can iterate based on LLM visibility results without risk or delay.

What is the primary benefit of using Optimize at Edge for LLM optimization?

The primary benefit is speed and efficiency. You can improve your AI search visibility in minutes without touching your origin content, disrupting publishing workflows, or waiting for engineering cycles. This agility is crucial in the competitive landscape of LLM visibility.

Why is edge-based LLM optimization considered superior to the traditional approach?

Edge-based optimization is superior because it removes the need for CMS changes, engineering cycles, and lengthy approval processes. You can deploy optimizations in minutes, instantly roll back changes, and keep your origin content untouched. This allows for much faster iteration and adaptation to LLM-driven search trends.

How does Optimize at Edge ensure no impact on user experience?

Optimize at Edge serves optimized content only to AI agents. Human visitors and SEO bots see your original, unaltered website, ensuring your visual design, navigation, and interactive elements remain unchanged.

Implementation & Technical Requirements

How do I get started with Optimize at Edge?

To get started, connect your CDN (such as Cloudflare or Vercel), run an analysis with the LLM Optimizer, review suggested optimizations, and deploy them at the edge with one click. You can monitor results and iterate as needed. Faros AI completed their integration in under 30 minutes and saw immediate results.

Does Optimize at Edge require any changes to my CMS or website code?

No. All optimizations are applied at the CDN layer, so your CMS and website code remain unchanged. This preserves your existing publishing workflows and minimizes technical risk.

What is the performance impact of edge-based optimization?

There is no negative performance impact. Edge-based optimizations are processed in sub-milliseconds and leverage standard CDN caching, ensuring your site remains fast and responsive for all users.

Can Optimize at Edge be used with static sites or headless CMSs?

Yes. Optimize at Edge is compatible with static site generators and headless CMSs, as well as traditional CMS platforms. It works at the CDN layer, independent of your backend technology.

How does Optimize at Edge handle caching and global delivery?

Optimized responses are cached at the CDN edge, matching your existing global CDN footprint. This ensures fast, reliable delivery to AI agents worldwide without increasing origin server load.

What support is available for implementing Optimize at Edge?

Salespeak provides detailed documentation, training videos, and support resources to help you implement Optimize at Edge. For more complex setups, you can contact the support team for guidance.

Is Optimize at Edge suitable for enterprise-scale deployments?

Yes. Optimize at Edge is designed for scalability and can be deployed across large, complex websites with multiple CDNs and CMSs. Its CDN-agnostic architecture ensures compatibility with enterprise infrastructure.

How does Optimize at Edge compare to traditional LLM optimization approaches?

Traditional LLM optimization requires CMS changes, engineering involvement, and lengthy approval cycles, often taking weeks or months. Optimize at Edge bypasses these steps by applying optimizations at the CDN layer, enabling deployment in minutes and instant rollback, with no impact on your origin content or workflows.

What are the steps to deploy an optimization with Optimize at Edge?

The steps are: 1) Connect your CDN, 2) Run analysis with LLM Optimizer, 3) Review suggested optimizations, 4) Deploy at edge with one click, 5) Monitor results and iterate as needed.

Can I use Optimize at Edge for A/B testing different content strategies?

Yes. The instant rollback and rapid deployment capabilities of Optimize at Edge make it ideal for A/B testing different FAQ formats, content structures, and optimization strategies for LLM visibility.

What is the difference between what a human sees and what an AI sees with Optimize at Edge?

Humans and SEO bots see your original, unaltered website. Only AI agents (identified by their user agent strings) receive the optimized version with enhanced FAQs, structure, and schema markup. This ensures the best experience for both audiences without compromise.

How does Optimize at Edge help with LLM visibility and citations?

By injecting structured, intent-driven FAQs and schema markup, Optimize at Edge makes your content more discoverable and relevant for LLMs. This increases the likelihood that your site will be cited in AI-generated answers, driving more qualified traffic and conversions.

What are some real-world examples of companies using Optimize at Edge?

Faros AI integrated Optimize at Edge in under 30 minutes and saw immediate results in LLM visibility. For more case studies and customer stories, visit the Salespeak Success Stories page.

Where can I learn more about LLM optimization and related topics?

You can read more about LLM optimization, edge deployment, and AI visibility strategies on the Salespeak blog and in the Salespeak glossary.

What is Optimize at Edge? LLM Optimization Without CMS Changes

A red, orange and blue "S" - Salespeak Images

What is Optimize at Edge? LLM Optimization Without CMS Changes

Omer Gotlieb Cofounder and CEO - Salespeak Images
Omer Gotlieb
6 min read
January 2, 2026

Here's the problem with most LLM optimization approaches: they require you to change your CMS. Edit your pages. Modify your publishing workflows. Get engineering involved. Wait weeks for changes to go live.

By the time you've optimized a page for AI visibility, competitors who moved faster have already established their position in ChatGPT and Claude responses.

Optimize at Edge solves this by applying LLM optimizations at the CDN layer. No CMS changes required, live in minutes, and completely reversible.

What is Optimize at Edge?

Optimize at Edge is an edge-based deployment capability in Salespeak's LLM Optimizer that serves AI-friendly changes specifically to LLM user agents. When we say "edge," we mean the CDN layer, the content delivery network that sits between your origin server and the users requesting your pages.

Here's how it works:

  1. LLM Optimizer analyzes your pages and detects opportunities to improve AI visibility: missing FAQs, content gaps, structural issues
  2. You approve the optimizations directly in the platform
  3. Changes deploy at the CDN edge, not to your CMS, not to your origin content
  4. Only AI agents see the optimized version. Human visitors and SEO bots see your original page

Your origin CMS remains completely unchanged. Your publishing workflows stay exactly the same. But when ChatGPT, Claude, Perplexity, or other AI agents crawl your pages, they see optimized content designed to improve your visibility in their responses.

Why edge-based optimization matters

The traditional approach is too slow

Consider what LLM optimization typically requires:

  • Identify pages that need optimization
  • Create updated content (FAQs, structured data, improved answers)
  • Get approval from content, legal, and brand teams
  • Coordinate with engineering or web team
  • Make changes in the CMS
  • Test and QA
  • Deploy to production
  • Wait for LLMs to re-crawl and update their knowledge

This process takes weeks, sometimes months for enterprise organizations. Meanwhile, your competitors are appearing in AI responses and you're not.

Edge optimization changes the equation

With Optimize at Edge:

  • No CMS changes required
  • No engineering cycles
  • No content management platform modifications
  • Deploy in minutes, not weeks
  • Rollback instantly if needed

The separation between your origin content and your AI-optimized content means you can move at the speed LLM optimization requires without disrupting anything else.

Key benefits of Optimize at Edge

AI-only delivery

Optimize at Edge serves optimized HTML only to AI agents. Human visitors see your original page exactly as designed. SEO bots see your original page exactly as indexed.

This matters because:

  • No UX impact: Your carefully designed human experience stays intact
  • No SEO risk: Google sees the same content it's always indexed
  • Targeted optimization: You can optimize specifically for how LLMs process content

Different audiences have different needs. Human visitors want visual design, navigation, and interactive elements. LLMs want structured, clear, factual content they can extract and cite. Edge optimization lets you serve both without compromise.

Faster cycles

Publish changes in minutes, not weeks. When LLM Optimizer identifies an opportunity (a missing FAQ, a content gap, a structural improvement), you can deploy the fix immediately.

No platform changes. No engineering tickets. No waiting for the next sprint. Click deploy, and the optimization is live at the edge.

In AI search, speed matters. Companies that can iterate quickly on their LLM visibility outpace competitors stuck in traditional publishing cycles.

Fully reversible

Every edge optimization is supported with one-click rollback capability. If an optimization doesn't perform as expected, or if you need to revert for any reason, you can undo the change in minutes.

This safety net makes experimentation possible:

  • Try different FAQ approaches
  • Test various content structures
  • Iterate based on LLM visibility results
  • Roll back anything that doesn't work

Traditional CMS changes are sticky. Once published, reverting requires another full cycle. Edge optimization makes LLM visibility an iterative process, not a high-stakes gamble.

No performance impact

Edge-based optimizations and caching keep site latency completely unaffected. Because changes are served from the CDN layer (the same infrastructure that already delivers your pages globally), there's no additional latency, no new server load, no performance degradation.

Your pages load exactly as fast as before. The optimization happens at the edge, where content delivery is already optimized for speed.

CDN and CMS-agnostic

Optimize at Edge works with any CDN configuration and front-end setup, regardless of your Content Management System:

  • WordPress: Works without plugins or theme modifications
  • Webflow: Integrates without touching your Webflow project
  • Custom CMS: Works with any headless or traditional CMS
  • Static sites: Compatible with any static site generator

Salespeak's LLM Optimizer integrates with Cloudflare, WordPress, and Vercel, and the underlying technology works with virtually any modern web infrastructure.

How Optimize at Edge works in practice

Automatic FAQ injection

One of the most effective applications of Optimize at Edge is automatic FAQ content optimization:

1. Intent Gap Detection
LLM Optimizer analyzes your existing page content and identifies intent gaps: questions that buyers commonly ask that your page doesn't explicitly answer. These gaps represent missed opportunities for LLM citations.

2. AI-Generated FAQ Suggestions
Based on the detected gaps, the system suggests FAQ content aligned to user intent and your existing topics. These aren't generic questions. They're specific to what buyers in your category actually ask.

3. Edge Injection
Approved FAQ content is injected into the HTML served to AI agents. The structured FAQ format is exactly what LLMs need to extract and cite your content in their responses.

The result: your pages become more discoverable and relevant in AI-driven answers, without changing a single line in your CMS.

Content optimization

Beyond FAQs, Optimize at Edge can improve content structure for LLM visibility:

  • Add structured data: Schema markup that helps LLMs understand your content
  • Improve heading hierarchy: Clear H1/H2/H3 structure that mirrors query patterns
  • Enhance definitions: Clear, extractable statements about what your product does
  • Add comparison context: Structured information about how you compare to alternatives

Each optimization targets the specific signals that influence whether LLMs cite your content, all without touching your origin pages.

The technical architecture

For technical teams, here's how Optimize at Edge works under the hood:

Request flow

  1. A request comes to your CDN (Cloudflare, Vercel, or other)
  2. The CDN identifies the user agent (human browser, SEO bot, or AI agent)
  3. For AI agents, the edge worker intercepts the request
  4. The edge worker applies cached optimizations to the HTML response
  5. The AI agent receives the optimized content

What stays the same

  • Your origin server and CMS are never modified
  • Human visitors get your original response directly from cache
  • SEO bots get your original response directly from cache
  • Only identified AI user agents trigger the edge optimization

Performance characteristics

  • Sub-millisecond edge processing time
  • Standard CDN caching for optimized responses
  • No origin server load increase
  • Global edge deployment matches your existing CDN footprint

Common questions about edge optimization

Is this cloaking? Will it hurt my SEO?

No. Cloaking (showing different content to search engines than to users) is a black-hat SEO tactic that Google penalizes. Optimize at Edge is fundamentally different:

  • SEO bots (Googlebot, Bingbot) see your original content
  • Only AI agents see optimized content
  • The optimization adds helpful content (FAQs, structure) and doesn't hide or deceive
  • Human visitors see your original pages

This is audience-appropriate content delivery, not deceptive cloaking.

How do you identify AI agents?

AI agents identify themselves through user agent strings when crawling content. Major LLMs use identifiable user agents:

  • GPTBot (OpenAI/ChatGPT)
  • ClaudeBot (Anthropic/Claude)
  • PerplexityBot (Perplexity)
  • Other documented AI crawlers

The edge worker matches these patterns to apply optimizations only to confirmed AI traffic.

What if an AI agent doesn't identify itself?

If an AI agent masks its user agent or doesn't identify itself, it receives your original content, just like human visitors. The optimization is additive; the worst case is that some AI traffic gets your unoptimized (but still functional) pages.

How quickly do changes take effect?

Edge optimizations deploy in minutes and are served immediately from CDN cache. However, LLMs update their knowledge bases on their own schedules, typically days to weeks. The edge optimization ensures your content is ready when they crawl; it doesn't control when they crawl.

Can I see what optimizations are being served?

Yes. The LLM Optimizer dashboard shows exactly what optimizations are deployed to each page, with preview capabilities to see the AI-optimized version before and after changes.

Getting started with Optimize at Edge

If you're using Salespeak's LLM Optimizer, Optimize at Edge is built into the platform. The setup process is straightforward:

  1. Connect your CDN: Cloudflare, Vercel, or other supported platforms
  2. Run analysis: LLM Optimizer scans your pages for optimization opportunities
  3. Review suggestions: See recommended FAQs and content improvements
  4. Deploy at edge: One-click deployment pushes optimizations to the CDN
  5. Monitor results: Track LLM visibility improvements over time

Faros AI completed their integration in under 30 minutes and saw results immediately. The technical barrier that usually blocks LLM optimization (CMS changes, engineering cycles, platform modifications) simply doesn't exist with edge deployment.

The bottom line

LLM visibility requires optimization. Optimization traditionally requires CMS changes. CMS changes require time, coordination, and engineering resources.

Optimize at Edge breaks that chain. By applying optimizations at the CDN layer, you can improve your AI search visibility in minutes without touching your origin content, without disrupting your publishing workflows, and without waiting for engineering cycles.

In the race for LLM visibility, speed matters. The companies that can iterate quickly on their AI optimization outpace competitors stuck in traditional publishing timelines. Edge optimization makes that speed possible.

Your pages stay the same for humans and search engines. But for the AI agents increasingly shaping buyer research, you're serving content designed to be cited.

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